Delete app.py

app.py

@@ -1,44 +0,0 @@
-import gradio as gr
-import torch
-import librosa
-import json
-from transformers import pipeline
-from stitched_model import CombinedModel
-
-
-device = "cuda:0" if torch.cuda.is_available() else "cpu"
-
-model = CombinedModel("ak3ra/wav2vec2-sunbird-speech-lug", "Sunbird/sunbird-mul-en-mbart-merged", device="cpu")
-
-
-def transcribe(audio_file_mic=None, audio_file_upload=None):
-    if audio_file_mic:
-        audio_file = audio_file_mic
-    elif audio_file_upload:
-        audio_file = audio_file_upload
-    else:
-        return "Please upload an audio file or record one"
-
-    # Make sure audio is 16kHz
-    speech, sample_rate = librosa.load(audio_file)
-    if sample_rate != 16000:
-        speech = librosa.resample(speech, orig_sr=sample_rate, target_sr=16000)
-    speech = torch.tensor([speech])
-
-    with torch.no_grad():
-        transcription, translation = model({"audio":speech})
-    
-    return transcription, translation[0]
-
-description = '''Luganda to English Speech Translation'''
-
-iface = gr.Interface(fn=transcribe,
-                     inputs=[
-                         gr.Audio(source="microphone", type="filepath", label="Record Audio"),
-                         gr.Audio(source="upload", type="filepath", label="Upload Audio")],
-                     outputs=[gr.Textbox(label="Transcription"),
-                              gr.Textbox(label="Translation")
-                     ],
-                     description=description
-                     )
-iface.launch()